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@INPROCEEDINGS{CERT,
  author = {Bartlett,M. and Littlewort,G. and Wu,T. and Movellan,J.},
  title = {Computer expression recognition toolbox},
  booktitle = {2008 8th IEEE International Conference on Automatic Face and Gesture
	Recognition, FG 2008},
  year = {2008},
  editor = { }
}

@BOOK{Bishop07,
  title = {Pattern Recognition and Machine Learni},
  publisher = {Springer-Verlag},
  year = {2007},
  author = {Bishop, C. M.},
  owner = {Guilherme},
  timestamp = {2011.03.01}
}

@MISC{Bradski11facedetection,
  author = {Gary Bradski},
  title = {Face Detection using OpenCV},
  howpublished = {Disponível em: \url{http://opencv.willowgarage.com/wiki/FaceDetection}
	Acesso em: 24 de Fevereiro de 2011}
}

@BOOK{OpenCV,
  title = {Learning OpenCV: Computer Vision with the OpenCV Library},
  publisher = {O'Reilly},
  year = {2008},
  author = {Gary Bradski and Adrian Kaehler},
  volume = {1}
}

@ARTICLE{Cohn10advancesin,
  author = {Jeffrey F. Cohn},
  title = {Advances in Behavioral Science Using Automated Facial Image Analysis
	and Synthesis},
  journal = {Signal Processing Magazine, IEEE},
  year = {2010},
  volume = {27},
  pages = {128 - 133},
  number = {6},
  month = {November}
}

@ARTICLE{Dornaika,
  author = {Dornaika,F. and Lazkano,E. and Sierra,B.},
  title = {Improving dynamic facial expression recognition with feature subset
	selection},
  journal = {Pattern Recognition Letters},
  year = {2011},
  volume = {32},
  pages = {740-748},
  owner = {Guilherme},
  timestamp = {2011.03.01}
}

@BOOK{FACS,
  title = {The Facial Action Coding System},
  publisher = {Salt Lake City, UT: Research Nexus eBook},
  year = {2002},
  author = {Ekman, P. and Friesen, W. V. and Hager, J. C.},
  edition = {Second}
}

@INPROCEEDINGS{MindReading,
  author = {El Kaliouby,R. and Robinson,P.},
  title = {Mind reading machines: Automated inference of cognitive mental states
	from video},
  booktitle = {Conference Proceedings - IEEE International Conference on Systems,
	Man and Cybernetics},
  year = {2004},
  editor = { },
  volume = {1},
  pages = {682-688},
  note = {Cited By (since 1996): 3}
}

@ARTICLE{Essa97coding,
  author = {Essa,I. A. and Pentland,A. P.},
  title = {Coding, analysis, interpretation, and recognition of facial expressions},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = {1997},
  volume = {19},
  pages = {757-763},
  number = {7}
}

@ARTICLE{Fasel99automaticfacial,
  author = {Beat Fasel and Juergen Luettin},
  title = {Automatic Facial Expression Analysis: A Survey},
  journal = {PATTERN RECOGNITION},
  year = {1999},
  volume = {36},
  pages = {259--275},
  number = {1}
}

@INPROCEEDINGS{Fellenz99comparingtemplate,
  author = {W. A. Fellenz and J. G. Taylor and N. Tsapatsoulis and S. Kollias},
  title = {Comparing Template-based, Feature-based and Supervised Classification
	of Facial Expressions from Static Images},
  booktitle = {Proceedings of Circuits, Systems, Communications and Computers (CSCC'99)},
  year = {1999},
  pages = {5331--5336}
}

@INCOLLECTION{Emotion_an_overview,
  author = {D. Keltner and P. Ekman},
  title = {Emotion: An Overview},
  booktitle = {Encyclopedia of Psychology},
  publisher = {Oxford: Oxford University Press},
  year = {2000},
  pages = {162},
  owner = {Carla},
  timestamp = {2011.02.27}
}

@ARTICLE{Kohler_differences_in_facial_expressions,
  author = {Kohler, Christian G. and Turner, Travis and Stolar, Neal M. and Bilker,
	Warren B. and Brensinger, Colleen M. and Gur, Raquel E. and Gur,
	Ruben C.},
  title = {Differences in facial expressions of four universal emotions},
  journal = {Psychiatry Research},
  year = {2004},
  volume = {128},
  pages = {236 - 244},
  owner = {Carla},
  timestamp = {2011.02.27}
}

@ARTICLE{ISI:000269352000001,
  author = {Kulkarni, Saket S. and Reddy, Narender P. and Hariharan, S. I.},
  title = {Facial expression (mood) recognition from facial images using committee
	neural networks},
  journal = {BIOMEDICAL ENGINEERING ONLINE},
  year = {2009},
  volume = {8},
  pages = {1},
  month = {{AUG 5}},
  abstract = {{Background: Facial expressions are important in facilitating human
	communication and interactions. Also, they are used as an important
	tool in behavioural studies and in medical rehabilitation. Facial
	image based mood detection techniques may provide a fast and practical
	approach for non-invasive mood detection. The purpose of the present
	study was to develop an intelligent system for facial image based
	expression classification using committee neural networks. Methods:
	Several facial parameters were extracted from a facial image and
	were used to train several generalized and specialized neural networks.
	Based on initial testing, the best performing generalized and specialized
	neural networks were recruited into decision making committees which
	formed an integrated committee neural network system. The integrated
	committee neural network system was then evaluated using data obtained
	from subjects not used in training or in initial testing. Results
	and conclusion: The system correctly identified the correct facial
	expression in 255 of the 282 images (90.43\% of the cases), from
	62 subjects not used in training or in initial testing. Committee
	neural networks offer a potential tool for image based mood detection.}},
  address = {{CURRENT SCIENCE GROUP, MIDDLESEX HOUSE, 34-42 CLEVELAND ST, LONDON
	W1T 4LB, ENGLAND}},
  affiliation = {{Reddy, NP (Reprint Author), Univ Akron, Dept Biomed Engn, Akron,
	OH 44325 USA. {[}Kulkarni, Saket S.; Reddy, Narender P.] Univ Akron,
	Dept Biomed Engn, Akron, OH 44325 USA. {[}Hariharan, S. I.] Univ
	Akron, Dept Elect \& Comp Engn, Akron, OH 44325 USA.}},
  article-number = {{16}},
  author-email = {{saketkulkarni@gmail.com npreddy@uakron.edu hari@uakron.edu}},
  doc-delivery-number = {{488LU}},
  doi = {{10.1186/1475-925X-8-16}},
  issn = {{1475-925X}},
  journal-iso = {{Biomed. Eng. Online}},
  keywords-plus = {{AUTOMATIC-ANALYSIS}},
  language = {{English}},
  number-of-cited-references = {{22}},
  publisher = {{BIOMED CENTRAL LTD}},
  subject-category = {{Engineering, Biomedical}},
  times-cited = {{0}},
  type = {{Article}},
  unique-id = {{ISI:000269352000001}}
}

@MISC{Lohr11computerthatsee,
  author = {Lohr, Steve},
  title = {Computers That See You and Keep Watch Over You},
  year={2011},
  howpublished = {Disponível em: \url{http://www.nytimes.com/2011/01/02/science/02see.html}
	Acesso em: 31 de Janeiro de 2011},
  journal = {The New York Times}
}

@INPROCEEDINGS{Picard,
  author = {McDuff,D. and El Kaliouby,R. and Kassam,K. and Picard,R.},
  title = {Affect valence inference from Facial Action Unit spectrograms},
  booktitle = {2010 IEEE Computer Society Conference on Computer Vision and Pattern
	Recognition - Workshops, CVPRW 2010},
  year = {2010},
  editor = { },
  pages = {17-24}
}

@ARTICLE{Conversational_expressions,
  author = {Nusseck,M. and Cunningham,D. W. and Wallraven,C. and Bülthoff,H.
	H.},
  title = {The contribution of different facial regions to the recognition of
	conversational expressions},
  journal = {Journal of Vision},
  year = {2008},
  volume = {8},
  pages = {1-23},
  number = {8},
  owner = {Carla}
}

@BOOK{Duda00,
  title = {Pattern Classification},
  publisher = {Wiley-Interscience},
  year = {2001},
  author = {R. O. Duda, P. E. Hart, and D. G. Stork},
  owner = {Guilherme},
  timestamp = {2011.03.01}
}

@ARTICLE{Viola04robustreal-time,
  author = {Paul Viola and Michael J. Jones},
  title = {Robust Real-Time Face Detection},
  journal = {International Journal of Computer Vision},
  year = {2004},
  volume = {57},
  pages = {137--154},
  number = {2}
}

@ARTICLE{Weiser:1999:CSC:329124.329126,
  author = {Weiser, Mark},
  title = {The computer for the 21st century},
  journal = {SIGMOBILE Mob. Comput. Commun. Rev.},
  year = {1999},
  volume = {3},
  pages = {3--11},
  month = {July},
  acmid = {329126},
  address = {New York, NY, USA},
  doi = {http://doi.acm.org/10.1145/329124.329126},
  issn = {1559-1662},
  issue = {3},
  numpages = {9},
  publisher = {ACM},
  url = {http://doi.acm.org/10.1145/329124.329126}
}

@ARTICLE{Zhao03facerecognition,
  author = {Zhao, W. and Chellappa, R. and Phillips, P. J. and Rosenfeld, A.},
  title = {Face recognition: A literature survey},
  journal = {ACM Comput. Surv.},
  year = {2003},
  volume = {35},
  pages = {399--458},
  month = {December},
  acmid = {954342},
  address = {New York, NY, USA},
  doi = {http://doi.acm.org/10.1145/954339.954342},
  issn = {0360-0300},
  issue = {4},
  keywords = {Face recognition, person identification},
  numpages = {60},
  publisher = {ACM},
  url = {http://doi.acm.org/10.1145/954339.954342}
}

@MISC{Affectiva,
  author = {Affectiva, Inc.},
  year={--},
  howpublished = {Disponível em: \url{http://www.affectiva.com/} Acesso em: 27 de
	Fevereiro de 2011},
}

@article{Hall02measuring,
        author={Hall,B. F.},
        year={2002},
        title={A new model for measuring advertising effectiveness},
        journal={Journal of Advertising Research},
        volume={42},
        number={2},
        pages={23-31},
}